Only gradient-based (LESS) representations make subset-to-query distance a reliable predictor of instruction-tuning performance; greedy round-robin helps most at small budgets, and random selection is surprisingly competitive.
\ k\ -variance: A clustered notion of variance
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A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn't)
Only gradient-based (LESS) representations make subset-to-query distance a reliable predictor of instruction-tuning performance; greedy round-robin helps most at small budgets, and random selection is surprisingly competitive.